Google Cloud Endpoints vs REST

Overview

Google Cloud Endpoints

Stacks36

Followers149

Votes1

REST

Stacks239

Followers198

Votes0

Google Cloud Endpoints vs REST: What are the differences?

Implementation: Google Cloud Endpoints provide an easier way to develop, deploy, and maintain APIs compared to traditional REST APIs. With Cloud Endpoints, you can define your API configuration in a configuration file, which is then used to automatically generate client libraries and API documentation.
Scalability: Google Cloud Endpoints offer better scalability through features like built-in DDoS protection, CDN caching, and automatic scaling based on usage patterns. REST APIs might require additional setup and configurations to achieve similar levels of scalability.
Security: Google Cloud Endpoints provide built-in support for authentication and authorization using Firebase Authentication, Google Cloud Identity Aware Proxy, and OAuth 2.0. REST APIs typically require manual implementation of security measures, which can be prone to human error.
Monitoring and Logging: Google Cloud Endpoints offer integrated monitoring and logging through Google Cloud Monitoring and Google Cloud Logging. This allows developers to easily track API usage, errors, and performance metrics. In contrast, monitoring and logging for REST APIs may need to be implemented separately using third-party tools.
Versioning: Google Cloud Endpoints provide support for API versioning, allowing developers to manage different versions of their APIs and deprecate older versions gradually. REST APIs may not have built-in support for versioning, leading to potential conflicts between clients using different versions of the API.
Error Handling: Google Cloud Endpoints offer standardized error handling using Google API Error Model, making it easier for clients to understand and act upon errors returned by the API. Traditional REST APIs may have varying error formats and approaches to error handling, potentially leading to confusion for clients.

In Summary, Google Cloud Endpoints provide a more comprehensive, scalable, and secure solution for API development compared to traditional REST APIs.

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CLI (Node.js)

Manual

Detailed Comparison

Google Cloud Endpoints	REST
An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, Google Cloud Logging and Cloud Trace.	An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
Statistics
Stacks 36	Stacks 239
Followers 149	Followers 198
Votes 1	Votes 0
Pros & Cons
Pros 1 Android Integration	Pros 4 Popularity
Integrations
Google App Engine Google Compute Engine Google Kubernetes Engine	No integrations available

What are some alternatives to Google Cloud Endpoints, REST?

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

gRPC

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

Related Comparisons

Google Cloud Endpoints vs REST: What are the differences?

Implementation: Google Cloud Endpoints provide an easier way to develop, deploy, and maintain APIs compared to traditional REST APIs. With Cloud Endpoints, you can define your API configuration in a configuration file, which is then used to automatically generate client libraries and API documentation.
Scalability: Google Cloud Endpoints offer better scalability through features like built-in DDoS protection, CDN caching, and automatic scaling based on usage patterns. REST APIs might require additional setup and configurations to achieve similar levels of scalability.
Security: Google Cloud Endpoints provide built-in support for authentication and authorization using Firebase Authentication, Google Cloud Identity Aware Proxy, and OAuth 2.0. REST APIs typically require manual implementation of security measures, which can be prone to human error.
Monitoring and Logging: Google Cloud Endpoints offer integrated monitoring and logging through Google Cloud Monitoring and Google Cloud Logging. This allows developers to easily track API usage, errors, and performance metrics. In contrast, monitoring and logging for REST APIs may need to be implemented separately using third-party tools.
Versioning: Google Cloud Endpoints provide support for API versioning, allowing developers to manage different versions of their APIs and deprecate older versions gradually. REST APIs may not have built-in support for versioning, leading to potential conflicts between clients using different versions of the API.
Error Handling: Google Cloud Endpoints offer standardized error handling using Google API Error Model, making it easier for clients to understand and act upon errors returned by the API. Traditional REST APIs may have varying error formats and approaches to error handling, potentially leading to confusion for clients.

In Summary, Google Cloud Endpoints provide a more comprehensive, scalable, and secure solution for API development compared to traditional REST APIs.

Google Cloud Endpoints vs REST

Overview